mpicbg.imglib.algorithm.scalespace

Class DifferenceOfGaussianReal1<A extends RealType<A>>

java.lang.Object

mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussian<A,B>

mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussianReal<A,A>

mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussianReal1<A>

All Implemented Interfaces:

Algorithm, Benchmark, MultiThreaded

public class DifferenceOfGaussianReal1<A extends RealType<A>>
extends DifferenceOfGaussianReal<A,A>

TODO

Author:

Stephan Preibisch

Nested Class Summary

Nested classes/interfaces inherited from class mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussian

DifferenceOfGaussian.SpecialPoint

Field Summary

Fields inherited from class mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussian

converter, dogImage, factory, image, outOfBoundsFactory, peaks

Constructor Summary

Constructors

Constructor and Description
DifferenceOfGaussianReal1(Image<A> img, OutOfBoundsStrategyFactory<A> outOfBoundsFactory, double[] sigma1, double[] sigma2, double minPeakValue, double normalizationFactor)
DifferenceOfGaussianReal1(Image<A> img, OutOfBoundsStrategyFactory<A> outOfBoundsFactory, double sigma1, double sigma2, double minPeakValue, double normalizationFactor)

Method Summary

Modifier and Type	Method and Description
protected OutputAlgorithm<A>	getGaussianConvolution(double[] sigma, int numThreads) This method returns the OutputAlgorithm that will compute the Gaussian Convolutions, more efficient versions can override this method

Methods inherited from class mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussianReal

checkInput, createVariable, getMinPeakValue, getNormalizedSubtraction, isPeakHighEnough, isSpecialPoint, setMinPeakValue

Methods inherited from class mpicbg.imglib.algorithm.scalespace.DifferenceOfGaussian

findPeaks, getComputeConvolutionsParalell, getDoGImage, getErrorMessage, getKeepDoGImage, getNumThreads, getPeaks, getProcessingTime, process, setComputeConvolutionsParalell, setKeepDoGImage, setNumThreads, setNumThreads

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DifferenceOfGaussianReal1

public DifferenceOfGaussianReal1(Image<A> img,
                                 OutOfBoundsStrategyFactory<A> outOfBoundsFactory,
                                 double sigma1,
                                 double sigma2,
                                 double minPeakValue,
                                 double normalizationFactor)

DifferenceOfGaussianReal1

public DifferenceOfGaussianReal1(Image<A> img,
                                 OutOfBoundsStrategyFactory<A> outOfBoundsFactory,
                                 double[] sigma1,
                                 double[] sigma2,
                                 double minPeakValue,
                                 double normalizationFactor)

Method Detail

getGaussianConvolution

protected OutputAlgorithm<A> getGaussianConvolution(double[] sigma,
                                                    int numThreads)

This method returns the OutputAlgorithm that will compute the Gaussian Convolutions, more efficient versions can override this method

Overrides:

getGaussianConvolution in class DifferenceOfGaussianReal<A extends RealType<A>,A extends RealType<A>>

Parameters:

sigma - - the sigma of the convolution

numThreads - - the number of threads for this convolution

Returns: